Matrix Exploratory Data Analysis Output:

1 Structure

1.1 Column types

# 
# numeric 
#       4

1.2 Missing values, NAs, and Negatives

# [1] "Are all rows complete?: TRUE"
# [1] "Are there any NAs?: FALSE"
# [1] "Are any values negative?: FALSE"

# [1] "Structure"
# 'data.frame': 150 obs. of  4 variables:
#  $ Sepal.Length: num  5.1 4.9 4.7 4.6 5 5.4 4.6 5 4.4 4.9 ...
#  $ Sepal.Width : num  3.5 3 3.2 3.1 3.6 3.9 3.4 3.4 2.9 3.1 ...
#  $ Petal.Length: num  1.4 1.4 1.3 1.5 1.4 1.7 1.4 1.5 1.4 1.5 ...
#  $ Petal.Width : num  0.2 0.2 0.2 0.2 0.2 0.4 0.3 0.2 0.2 0.1 ...

2 Heatmap

3 Jitter or Violin Plot

4 Correlation Plot

5 Outlier Plots

6 Cumulative Variance

7 Pairs Plots

# NULL

8 BIC Plots

# Best BIC values:
#              VEV,2        VEV,3      VVV,2
# BIC      -561.7285 -562.5514380 -574.01783
# BIC diff    0.0000   -0.8229759  -12.28937

# EII VII EEI VEI EVI VVI EEE EVE VEE VVE EEV VEV EVV VVV 
#  17   2  16  13  10   1  15   5   8   9  12   7  14   0

9 Mclust classifications

# NULL